Fuzzy Logic Toolbox
Fuzzy Logic Toolbox™ provides MATLAB®functions, apps, and a Simulink®block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning.
工具箱可以复杂系统行为模型s using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.
Getting Started
Learn the basics of Fuzzy Logic Toolbox
Fuzzy Inference System Modeling
Build Mamdani and Sugeno fuzzy inference systems
Adaptive Neuro-Fuzzy Modeling
Build Adaptive Neuro-Fuzzy Inference Systems (ANFIS), train Sugeno systems using neuro-adaptive learning
Data Clustering
Find clusters in input/output data using fuzzy c-means or subtractive clustering
Fuzzy Logic In Simulink
Simulate systems in Simulink
Deployment
Deploy standalone applications or embed systems in external applications